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Combing optimal waveform design with parameter selection for radar/sonar systems

机译:将最佳波形设计与雷达/声纳系统的参数选择结合在一起

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Waveform optimization for radar/sonar systems has been recently developed, especially after cognitive radar is proposed. The waveform optimization is different as a result of different tasks of radar systems. Usually, an optimized waveform just only aims at one task in most research. In this paper, an novel algorithm is proposed to generate the transmitted signal for multi-task of radar systems. The proposed algorithm combines waveform design with transmitted parameter selection. The waveform design based on maximizing signal-to-noise ratio criterion is for target detection, then, combing the designed waveform based on SNR criterion with the parameter selection generates the optimal signal for target tracking. The simulation results demonstrate the effectiveness of the proposed algorithm for improving target tracking after the designed optimal waveform for target detection document.
机译:雷达/声纳系统的波形优化最近得到了发展,特别是在提出认知雷达之后。由于雷达系统的不同任务,波形优化有所不同。通常,最优化的波形仅针对大多数研究中的一项任务。本文提出了一种新的算法来生成雷达系统多任务发射信号。该算法将波形设计与传输参数选择相结合。基于最大化信噪比准则的波形设计用于目标检测,然后将基于SNR准则的设计波形与参数选择相结合,生成用于目标跟踪的最佳信号。仿真结果证明了所提算法在为目标检测文档设计最佳波形后改善目标跟踪的有效性。

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